Direct projection to latent variable space for fault detection.
Jing HuChenglin WenPing LiTianqi YuanPublished in: J. Frankl. Inst. (2014)
Keyphrases
- fault detection
- latent variables
- fault diagnosis
- industrial processes
- fault identification
- probabilistic model
- failure detection
- tennessee eastman
- latent variable models
- condition monitoring
- random variables
- real valued
- latent space
- topic models
- fault localization
- prior knowledge
- gaussian process
- fault detection and diagnosis
- higher dimensional
- machine learning
- co occurrence
- fault detection and isolation
- genetic algorithm
- fuel cell
- robust fault detection
- computer simulation
- low dimensional
- evolutionary algorithm
- search space
- neural network